What we're about

Data Umbrella



Our mission is to provide a welcoming and educational space for under-represented persons in the fields of data science, machine learning, deep learning, artificial intelligence and analytics. All skill levels are welcome.


We welcome allies of any background who support our mission to join the community and share their skills and network to increase diversity in data science.



All members must read and adhere to the CoC, which applies to all spaces, online and in person. Our CoC is adopted from NumFOCUS and is available here: https://www.dataumbrella.org/about/code-of-conduct



The organizers who run this group are all volunteers. They are donating their time, outside of work, family and personal time. We will respond to emails as resources are available to do so. To support Data Umbrella and keep it running, please donate to our Collective.


Website: https://www.dataumbrella.org (https://www.dataumbrella.org/home)

Newsletter: https://dataumbrella.substack.com/

Twitter: https://twitter.com/DataUmbrella

YouTube: https://www.youtube.com/c/dataumbrella

LinkedIn: https:// http://www.linkedin.com/company/dataumbrella/

Upcoming events (1)

[Online] Intro to FluxML and Machine Learning in Julia

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## How to join the webinar:

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Pre-register for the webinar:

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Video Recording
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16:00 UTC
9 am PT / 12 pm ET / 7 pm EAT / 9:30 pm IST

## Speaker

Kyle Daruwalla

## Talk Level


## Pre-reqs


## Prep Work

Install Julia 1.9 (https://julialang.org/downloads/), VS Code, and Julia VS Code extension

## Resources


## Event

Julia is a high-level, general-purpose dynamic programming language. Its features are well suited for numerical analysis and computational science. If you have experience programming in another language, you will find that most of your knowledge will be easily transferred to Julia. Refer to the documentation of some noteworthy differences from other popular languages: Matlab, R, Python and C/C++.

This presentation will introduce the basics of machine learning with FluxML in Julia, how it differs from other frameworks, and why it matters.

## Speaker

Kyle Daruwalla is a NeuroAI Scholar at Cold Spring Harbor Lab where he conducts research at the intersection of computing, machine learning, and neuroscience. He received his Ph.D. in Electrical Engineering from the University of Wisconsin-Madison studying non-von Neumann computing. He is currently a co-maintainer for the FluxML org.

LinkedIn: https://www.linkedin.com/in/kyle-daruwalla-0a302a8a/


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Past events (81)

[Online] An Introduction to ImageIO

This event has passed